基于高阶重力场模型的山区高程拟合研究

Study on the Elevation Fitting in Mountainous Area Based on High Order Gravity Field Model

选用沿海山区GNSS水准点的实测高程异常,分别对近几年国际上公布的EGM2008、EIGEN-6C2、EIGEN-6C3stat、GECO、XGM2019e、SGG-UGM-2这6个高阶重力场模型计算的高程异常进行精度检验,分析不同模型、不同截断阶次模型高程异常精度与阶次的关系,采用基于Kd-Tree算法的二次曲面拟合方法进行山区水准面移去—拟合—恢复。结果表明,利用基于Kd-Tree算法高阶重力场模型进行山区水准拟合精度提高明显,具有较好的适应性。

In this paper,the measured height anomalies of GNSS benchmark in coastal mountainous areas are selected to test the accuracy of height anomalies calculated by six high order gravity field models(EGM2008,EIGEN-6C2,EIGEN-6C3stat,GECO,XGM2019e and SGG-UGM-2)published in recent years,and the relationship between the accuracy and order of height anomalies of different models with different truncation order is analyzed,the method of quadric surface fitting based on Kd-Tree algorithm is used to remove,fit and restore the mountain level.The results show that the accuracy of mountain level fitting based on high order gravity field model based on KD tree algorithm is improved obviously,and it has good adaptability.